Leveraging their domain experience, Liftr helps data centers forecast their power needs
AUSTIN, Texas, May 2, 2024 -- Liftr Insights, a pioneer with over 5 years of market intelligence experience, began offering power insights for data center analysts.
This comes aside news reports about the latest chips, such as the NVIDIA H100, requiring more power than an average household and warnings about the growing demand to support AI computing power requirements. Each of the latest GPUs driving AI Training and AI Inference require large amounts of power to produce the high workload output. And hundreds of thousands more GPUs are on their way into data centers.
Liftr® is using its domain expertise for sizing and scoping data centers. Knowing what the public cloud providers (and niche AI providers) are offering is valuable information for consultants attempting to maximize the output for private data centers.
"Our services portfolio is a key part of analyst considerations," says Tab Schadt, CEO of Liftr Insights. "Companies and consultants can leverage the millions of dollars in research that the public cloud providers have invested in where they spend their AI funds."
Since OpenAI helped inspire the age of AI with the release of ChatGPT, the demand for AI will only continue to grow. With that growth will be more chips able to meet those demands. While the performance per chip has and will continue to improve, understanding the power needs is a critical component for any cost and design analysis.
For example, Liftr can show a customer that their footprint for H100's might require 828 kW for 100 servers even before factoring other relevant costs. But, several variables can alter those numbers as Liftr works with consultants on their specific configurations and restrictions.
"By extending our information and domain knowledge into the power and scoping side of the equation, we've opened new doors for our clients," says Schadt. "As with AI, this is only the beginning. More powerful insights still to come!"
About Liftr Insights
Liftr Insights generates reliable market intelligence using unique data, including details about configurations, components, deployment geo, and pricing for:
- Server processors: Intel Xeon, AMD EPYC, Aliyun Yitian, AWS Graviton, and Ampere Computing Altra
- Datacenter compute accelerators: GPUs, FPGAs, TPUs, and AI chips from NVIDIA, Xilinx, Intel, AMD, AWS, and Google
As shown on the Liftr Cloud Regions Map at https://bit.ly/LiftrCloudRegionsMap, among the companies tracked are Amazon Web Services, Microsoft Azure, Alibaba Cloud, Google Cloud, Oracle Cloud, Tencent Cloud, CoreWeave, Lambda, and Vultr as well as semiconductor vendors AMD, Ampere, Intel, and NVIDIA. Liftr Insights subject matter experts translate company-specific service provider data into actionable alternative data.
Liftr and the Liftr logo are registered service marks of Liftr Insights. The following are trademarks and/or service marks of Liftr Insights: Liftr Insights, Cloud Components Tracker, Intelligence Compute Tracker, and Liftr Cloud Regions Map.
The following are registered intellectual property marks, trademarks, or service marks of their respective companies:
Amazon Web Services
Microsoft Azure
Alibaba Cloud
Google Cloud
Oracle Cloud
Tencent Cloud
CoreWeave
Lambda
Vultr
Intel Corporation
Ampere Computing
NVIDIA
AMD
ARM
SOURCE Liftr Insights
